We evaluate our architecture on three standard datasets; ModelNet40 [1]}, ModelNet10 [1]}, and ShapeNetPart [3]}. Further, we compare our results with the baselines and the existing methods in segmentation and classification tasks, which demonstrates the effectiveness of our model. The advantage of our architecture is further demonstrated by analyzing the effect of various parameters along with different architectures.
